In this chapter, we provide an overview of the motivation for, and structure of, advanced discrete choice models derived from random-utility maximization. The discussion is intended to familiarize readers with structural alternatives to the multinomial logit. Before proceeding to review advanced discrete choice models, we first summarize the assumptions of the multinomial logit (MNL) formulation. This is useful sinc
The paper is devoted to the analysis of logit models and their application in the market. A theoreti...
Often, individuals must choose among discrete alternatives with imperfect information about their va...
The paper introduces a new type of random utility model. Here the random term is formulated as a mul...
This paper discusses important developments in discrete choice modeling for transportation applicati...
Discrete choice analysis is a cornerstone of modern day transportation economics. It facilitates the...
The multinomial logit model has been used widely as a fundamental tool for the analysis of discrete ...
A discrete choice model is presented that explicitly recognizes differences in the error structure a...
A discrete choice model is presented that explicitly recognizes differences in the error structure a...
Until recently, computational constraints forced researchers in the discrete choice area to limit th...
The multinomial logit model in discrete choice analysis is widely used in transport research. It has...
In Alberini et al. (this volume), an overview of the workhorse model (the Multinomial Logit, or MNL)...
The implications of stochastic utility maximization in a model of choice of payment are examined. Th...
This thesis first considers some extensions of the existing discrete choice models. One such extensi...
The implications of stochastic utility maximization in a model of choice of payment are examined. Th...
This chapter introduces a general framework for disaggregate travel behaviour modelling. The main fo...
The paper is devoted to the analysis of logit models and their application in the market. A theoreti...
Often, individuals must choose among discrete alternatives with imperfect information about their va...
The paper introduces a new type of random utility model. Here the random term is formulated as a mul...
This paper discusses important developments in discrete choice modeling for transportation applicati...
Discrete choice analysis is a cornerstone of modern day transportation economics. It facilitates the...
The multinomial logit model has been used widely as a fundamental tool for the analysis of discrete ...
A discrete choice model is presented that explicitly recognizes differences in the error structure a...
A discrete choice model is presented that explicitly recognizes differences in the error structure a...
Until recently, computational constraints forced researchers in the discrete choice area to limit th...
The multinomial logit model in discrete choice analysis is widely used in transport research. It has...
In Alberini et al. (this volume), an overview of the workhorse model (the Multinomial Logit, or MNL)...
The implications of stochastic utility maximization in a model of choice of payment are examined. Th...
This thesis first considers some extensions of the existing discrete choice models. One such extensi...
The implications of stochastic utility maximization in a model of choice of payment are examined. Th...
This chapter introduces a general framework for disaggregate travel behaviour modelling. The main fo...
The paper is devoted to the analysis of logit models and their application in the market. A theoreti...
Often, individuals must choose among discrete alternatives with imperfect information about their va...
The paper introduces a new type of random utility model. Here the random term is formulated as a mul...